The Whiteboard Method: How We Analyse a Suburb in 30 Minutes.

Every suburb we recommend to clients goes through a standardised analysis framework. We call it the whiteboard method because it started with me literally drawing it on a whiteboard during team meetings.

The framework has seven data points. If a suburb fails any one of them, it is disqualified. No exceptions, no gut feelings, no "but the vibe is good." Data only.

Here is the framework. You can use it yourself for any suburb in Australia.

The seven indicators

1. Land supply. Is there vacant developable land in the suburb? If yes — especially large-scale greenfield estates — the suburb fails. Unlimited supply = no scarcity premium. Check the planning scheme for UGZ (Urban Growth Zone) or similar designations that indicate ongoing greenfield development.

2. Vacancy rate. Below 2% = healthy rental demand. Below 1% = crisis-level undersupply (landlord's market). Above 3% = oversupply risk. Source: SQM Research, updated monthly.

3. Median days on market. How quickly are properties selling? Under 30 days indicates strong demand. Over 60 days suggests buyer hesitation. Source: CoreLogic or Domain suburb profiles.

4. Affordability ratio. Median house price divided by median household income. A ratio of 6-8x is the sweet spot — affordable enough for first-home buyers and young families, expensive enough to exclude speculative H&L packages. Above 10x = affordability-constrained. Below 5x = potential economic weakness.

5. Population age profile. We target suburbs where the 25-44 age bracket is dominant or growing. These are family-formation years — the demographic that generates the strongest housing demand. A suburb with a median age above 50 is likely in the empty-nester/downsizer phase. Source: ABS Census and .id population forecasts.

6. Self-occupation rate. What percentage of dwellings are owner-occupied? Above 65% = stable community, strong price floor (owner-occupiers do not panic-sell). Below 50% = investor-heavy, more volatile in downturns. Source: ABS Census.

7. Apartment/unit density. What proportion of housing stock is apartments or units? Below 10% = house-dominated market with scarcity premium. Above 20% = medium-density supply that compresses house price growth. Source: ABS Census dwelling structure data.

"Seven numbers. Thirty minutes. If you cannot find a suburb's data in 30 minutes, you do not have the tools to invest there. And if the data does not pass all seven tests, you do not have the thesis to invest there." — Joey Don, PremiumRea

How our target suburbs score

Let me show you how three of our core suburbs perform:

Hampton Park:

1. Land supply: None. Fully allocated. PASS.
2. Vacancy: 0.8%. PASS.
3. Days on market: 22 days. PASS.
4. Affordability: 5.8x. PASS.
5. Age profile: 30-39 bracket is largest cohort. PASS.
6. Self-occupation: 72%. PASS.
7. Apartment density: 3%. PASS. Result: 7/7.

Cranbourne:

1. Land supply: Minimal. Some fringe development but core is allocated. PASS.
2. Vacancy: 1.1%. PASS.
3. Days on market: 25 days. PASS.
4. Affordability: 5.5x. PASS.
5. Age profile: 25-39 dominant. PASS.
6. Self-occupation: 68%. PASS.
7. Apartment density: 5%. PASS. Result: 7/7.

Point Cook (example of a FAIL):

1. Land supply: Extensive UGZ with thousands of lots under development. FAIL. Result: Disqualified at indicator 1. We do not analyse further.

Frequently asked questions

Where do I find this data? Vacancy: sqmresearch.com.au. Days on market: domain.com.au/suburb-profile. Affordability: ABS median income data + CoreLogic median prices. Population age: profile.id.com.au or ABS Census QuickStats. Self-occupation and dwelling structure: ABS Census QuickStats.

Can a suburb that fails one indicator still be a good investment? Rarely. The seven indicators are designed to be collectively necessary. A suburb with great demographics but unlimited land supply (like Wyndham) will underperform. A suburb with scarce land but an ageing population (like parts of Rowville) will stagnate. All seven must pass.

How often should I re-check these indicators? Vacancy rates change monthly — check before every purchase. Population data updates with each Census (every 5 years). Land supply changes are published in planning scheme amendments. A full refresh every 12 months is adequate for most indicators.